Triple
T10699261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Young Theatre School |
E252226
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Sylvia Young
Sylvia Young is a renowned British theatre school founder and talent coach known for training numerous successful stage and screen performers.
|
E880913
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sylvia Young | Statement: [Sylvia Young Theatre School, foundedBy, Sylvia Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Young Context triple: [Sylvia Young Theatre School, foundedBy, Sylvia Young]
-
A.
Dame Ann Dowling
Dame Ann Dowling is a prominent British mechanical engineer and academic leader known for her pioneering research in acoustics and aeronautics and for serving as President of the Royal Academy of Engineering.
-
B.
Renée Lees
Renée Lees was the wife of prominent British philosopher A. J. Ayer.
-
C.
Eleanor Bron
Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
-
D.
Anne Rennie
Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
-
E.
Lesley Sharp
Lesley Sharp is an English actress known for her work in television, film, and theatre, including prominent roles in series such as "Scott & Bailey" and "Afterlife."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sylvia Young Triple: [Sylvia Young Theatre School, foundedBy, Sylvia Young]
Generated description
Sylvia Young is a renowned British theatre school founder and talent coach known for training numerous successful stage and screen performers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sylvia Young Target entity description: Sylvia Young is a renowned British theatre school founder and talent coach known for training numerous successful stage and screen performers.
-
A.
Dame Ann Dowling
Dame Ann Dowling is a prominent British mechanical engineer and academic leader known for her pioneering research in acoustics and aeronautics and for serving as President of the Royal Academy of Engineering.
-
B.
Renée Lees
Renée Lees was the wife of prominent British philosopher A. J. Ayer.
-
C.
Eleanor Bron
Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
-
D.
Anne Rennie
Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
-
E.
Lesley Sharp
Lesley Sharp is an English actress known for her work in television, film, and theatre, including prominent roles in series such as "Scott & Bailey" and "Afterlife."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998ed78e481908537ae10d55e6f65 |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8534688190b312b737e0b9cd53 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadcb861a08190bb9f64a91117f35d |
completed | April 11, 2026, 11:43 p.m. |
Created at: April 8, 2026, 9:12 p.m.